Image enhancement for pattern recognition
Image enhancement for pattern recognition
复制标题
用于模式识别的图像增强
DOI：
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发表时间：
1998
期刊：
影响因子：
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通讯作者：
G. Dobeck
中科院分区：
文献类型：
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作者：
Q. Huynh;N. Neretti;N. Intrator;G. Dobeck
我们研究了针对特定探测器的各种图像增强技术。我们的数据库由在海军水面作战中心(NSWC)收集的侧扫声纳图像组成，我们使用的探测器已被证明对这些数据具有良好的结果。我们首先研究了各种小波和小波包去噪方法。我们考虑的其他方法是基于更常见的过滤器(高斯过滤器和狗过滤器)。在基于小波的去噪中，我们尝试了不同的方法，结合了信号和图像去噪中成功使用的技术。我们注意到，性能主要受应用收缩的比例级别的选择影响。我们证明了小波去噪可以在保持较低的虚警率的情况下显著提高检测性能。
We investigate various image enhancement techniques geared towards a specific detector. Our database consists of side- scan sonar images collected at the Naval Surface Warfare Center (NSWC), and the detector we use has proven to have excellent results on these data. We start by investigating various wavelet and wavelet packet denoising methods. Other methods we consider are based on more common filters (Gaussian and DOG filters). In wavelet based denoising we try different approaches, combining techniques that have been successfully used in signal and image denoising. We notice that the performance is mostly affected by the choice of the scale levels to which shrinkage is applied. We demonstrate that wavelet denoising can significantly improve detection performance while keeping low false alarm rates.